Summary

The data had 20 subjects.

After 100 cycles, the model status was Maximum cycles reached.

Observed-predicted plot

Points should appear close to, and randomly distributed around, the (dashed) identity-line.

Outeq 1

Population

Median
Mean

Posterior

Median
Mean

Prediction metrics

Outeq 1

Population

Median
Mean

Posterior

Median
Mean

Bias is (pred - obs) % Mean weighted error (MWE). Imprecision is % Root mean, bias-adjusted, weighted, squared error (RMBAWSE). Change these with setPMoptions().

Prediction residuals

Residuals should be randomly distributed around zero, with no apparent trend. For how to interpret these plots, please review our website. Weighted prediction errors are weighted by the observation standard deviation, i.e. the error polynomial.

Outeq 1

Population

Median
Mean

Posterior

Median
Mean

Parameter values and distributions

Parameter summaries

The model included the following primary parameters

Marginal plots

Probability distributions, dashed lines are limits.

Table of support points

The following table lists the final support points, in order of decreasing probability.

Cycle information